@Article{BoersBooMarKurMar:2013:CoNeId,
               author = "Boers, N. and Bookhagen, B. and Marwan, N. and Kurths, J. and 
                         Marengo, Jos{\'e} Antonio",
          affiliation = "Humboldt University, Berlin and {University of California} and 
                         {Potsdam Institute for Climate Impact Research Brandenburg} and 
                         {Humboldt University} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Complex networks identify spatial patterns of extreme rainfall 
                         events of the South American Monsoon System",
              journal = "Geophysical Research Letters",
                 year = "2013",
               volume = "40",
               number = "16",
                pages = "4386--4392",
                month = "Aug.",
             keywords = "Convergence zones, Event synchronization, Extreme precipitation, 
                         Important features, Mesoscale Convective System, Non-linear 
                         correlations, Rainfall data, Spatial characteristics, Atmospheric 
                         thermodynamics, Storms, Rain, convergence, data set, monsoon, 
                         nonlinearity, precipitation (climatology), precipitation 
                         assessment, rainfall, resolution, spatial analysis, synchrony, La 
                         Plata Basin.",
             abstract = "We investigate the spatial characteristics of extreme rainfall 
                         synchronicity of the South American Monsoon System (SAMS) by means 
                         of Complex Networks (CN). By introducing a new combination of CN 
                         measures and interpreting it in a climatic context, we investigate 
                         climatic linkages and classify the spatial characteristics of 
                         extreme rainfall synchronicity. Although our approach is based on 
                         only one variable (rainfall), it reveals the most important 
                         features of the SAMS, such as the main moisture pathways, areas 
                         with frequent development of Mesoscale Convective Systems (MCS), 
                         and the major convergence zones. In addition, our results reveal 
                         substantial differences between the spatial structures of rainfall 
                         synchronicity above the 90th and above the 95th percentiles. Most 
                         notably, events above the 95th percentile contribute stronger to 
                         MCS in the La Plata Basin. Key Points Complex Networks of rainfall 
                         data reveal features of the South Americanmonsoon Combining 
                         several network measures enhances identification of 
                         climaticpatterns Distinct large scale synchronization of extreme 
                         and most extreme rainfall events.",
                  doi = "10.1002/grl.50681",
                  url = "http://dx.doi.org/10.1002/grl.50681",
                 issn = "0094-8276",
                label = "scopus 2013-11",
             language = "en",
        urlaccessdate = "2024, May 19"
}